Coverart for item
The Resource Evolutionary design of intelligent systems in modeling, simulation and control, Oscar Castillo, Witold Pedrucz, and Janusz Kacprzyk (eds.), (electronic resource)

Evolutionary design of intelligent systems in modeling, simulation and control, Oscar Castillo, Witold Pedrucz, and Janusz Kacprzyk (eds.), (electronic resource)

Label
Evolutionary design of intelligent systems in modeling, simulation and control
Title
Evolutionary design of intelligent systems in modeling, simulation and control
Statement of responsibility
Oscar Castillo, Witold Pedrucz, and Janusz Kacprzyk (eds.)
Contributor
Subject
Genre
Language
eng
Summary
Annotation:
Cataloging source
BTCTA
Dewey number
006.3
LC call number
TJ217.5
LC item number
.E86 2009
http://library.link/vocab/relatedWorkOrContributorDate
  • 1959-
  • 1953-
http://library.link/vocab/relatedWorkOrContributorName
  • Castillo, Oscar
  • Pedrycz, Witold
  • Kacprzyk, Janusz
Series statement
Studies in computational intelligence,
Series volume
v. 257
http://library.link/vocab/subjectName
  • Intelligent control systems
  • Soft computing
  • Fuzzy systems
  • Pattern recognition systems
  • Fuzzy-Regelung
  • Lernendes System
  • Lernendes System
  • Lernendes System
  • Mustererkennung
  • Lernendes System
  • Soft Computing
  • Evolutionsstrategie
  • Fuzzy-Regelung
  • Hardwareentwurf
  • Robotik
  • Modellierung
  • Simulation
  • Mehragentensystem
  • Mustererkennung
  • Neuronales Netz
  • Fuzzy-Logik
Summary expansion
The editors describe in this book, new methods for evolutionary design of intelligent systems using soft computing and their applications in modeling, simulation and control. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part contains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary algorithms for optimizing modular neural networks with fuzzy systems for response integration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning objects and social agents. The fourth part contains papers that deal with intelligent systems in robotics applications and hardware implementations
Label
Evolutionary design of intelligent systems in modeling, simulation and control, Oscar Castillo, Witold Pedrucz, and Janusz Kacprzyk (eds.), (electronic resource)
Instantiates
Publication
Bibliography note
Includes bibliographical references and author index
Control code
OCM1bookssj0000317582
Dimensions
unknown
Isbn
9783642045134
Lccn
2009937149
Specific material designation
remote
System control number
(WaSeSS)bookssj0000317582
Label
Evolutionary design of intelligent systems in modeling, simulation and control, Oscar Castillo, Witold Pedrucz, and Janusz Kacprzyk (eds.), (electronic resource)
Publication
Bibliography note
Includes bibliographical references and author index
Control code
OCM1bookssj0000317582
Dimensions
unknown
Isbn
9783642045134
Lccn
2009937149
Specific material designation
remote
System control number
(WaSeSS)bookssj0000317582

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